A power-controlled reliability assessment for multi-class probabilistic classifiers
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Publication:6062812
DOI10.1007/S11634-022-00528-0OpenAlexW4309636459MaRDI QIDQ6062812
Publication date: 2 December 2023
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11634-022-00528-0
Cites Work
- Unnamed Item
- Bagging predictors
- Algorithm AS 136: A K-Means Clustering Algorithm
- A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests
- Goodness-of-fit statistics for discrete multivariate data
- An expected power approach for the assessment of composite endpoints and their components
- Active Learning
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- Goodness of fit tests for the multiple logistic regression model
- An Improved Goodness of Fit Statistic for Probability Prediction Models
- Least squares quantization in PCM
- Investigating the power of goodness-of-fit tests for multinomial logistic regression
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